Numerical Computing Expert – AI Infrastructure

Huawei is a global leading provider of information and communications solutions. Through our dedication to customer-centric innovation and strong partnerships, we have established highly-competitive end-to-end capabilities and strengths across the carrier networks, enterprise, consumer, and cloud computing fields. Our products and solutions have been deployed in over 170 countries and regions serving more than one third of the world’s population. Huawei’s vision is to bring digital to every person, home and organization for a fully connected, intelligent world. By leveraging our experience and expertise in the telecom sector, we help bridge the digital divide and give people the opportunity to join the information age, regardless of their geographic origin. Position Overview We are looking for a Numerical Computing Specialist to join our AI Infrastructure team in Paris within Huawei Paris Distributed & Parallel Computing Lab. You will be part of a world-class R&D group working on next-generation infrastructure for large-scale AI models. In this role, you will focus on the core numerical computing challenges that enable efficient, accurate, and scalable model training and inference. We welcome candidates at multiple levels, including exceptional recent PhD graduates and experienced technical experts. Key Responsibilities Conduct advanced research in numerical computing for large model training and inference Design and implement techniques such as: Sparse matrix computation Low-rank approximation and tensor decomposition Mixed precision computation and stability analysis Quantization and dimensionality reduction Collaborate closely with system, compiler, and parallelism experts to bring innovations into real-world systems Publish in top-tier conferences or contribute to high-impact industrial solutions Qualifications Required: Solid background in numerical linear algebra, scientific computing, or applied mathematics Proficiency in implementing and analyzing algorithms involving matrix/tensor computation Strong coding skills in Python and/or C++, with experience using frameworks like PyTorch, TensorFlow, or JAX Ability to read and write academic papers; fluent English required Preferred: PhD in computer science, applied math, or related field (or equivalent experience in industry) Research experience in one or more of the following: Sparse/dense matrix algorithms Mixed precision or adaptive precision methods Model compression or efficient representation Experience with AI compilers, numerical kernels (e.g., cuBLAS, CUTLASS), or HPC libraries Publications at conferences such as NeurIPS, ICML, ICLR, SC, SIAM, etc. What We Offer Opportunity to work on cutting-edge challenges in large-scale AI systems Flexible career paths: technical expert, applied researcher, or system innovator Collaboration with top engineers and scientists in Europe and globally Competitive salary and long-term growth opportunities HUAWEI Technologies France SASU (“HUAWEI”) respects your privacy and is committed to the protection of your personal data. Your personal data included in the application may be processed by HUAWEI. With your application, you agree with our Recruitment Privacy Statement: http://career.huawei.com/reccampportal/portal/hrd/weu_rec_all.html

Location: Boulogne-Billancourt, FR

Posted Date: 8/16/2025